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Yangfeng Ji

51 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (12)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🏠 Conference Loyalist (20) 🤝 Dynamic Duo (10) 👥 Mega-Team (56) 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) Prolific Year (5) The Questioner (2) 💎 Century Club (51) 🔥 Unstoppable (13) 🗃️ Keyword Collector (194) 📈 Trend Setter

Conferences

EMNLP (20) ACL (11) NAACL (11) IJCNLP (3) AAAI (2) COLING (1) ICLR (1) IJCAI (1) NIPS (1)

Research topics

Papers

Syntactic Blind Spots: How Misalignment Leads to LLMs’ Mathematical Errors EMNLP 2025 The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025 Unsupervised Concept Vector Extraction for Bias Control in LLMs EMNLP 2025 A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension NAACL 2025 Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025 Do Prevalent Bias Metrics Capture Allocational Harms from LLMs? NAACL 2025 In-Context Learning (and Unlearning) of Length Biases NAACL 2025 SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation ICLR 2025 Improving Aspect-Based Summarization via Contrastive Learning with Anchored Negative Examples EMNLP 2025 Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024 PLAtE: A Large-scale Dataset for List Page Web Extraction ACL 2023 Improving Interpretability via Explicit Word Interaction Graph Layer AAAI 2023 REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023 Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values ACL 2023 Efficient NLP Model Finetuning via Multistage Data Filtering IJCAI 2023 CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification NIPS 2022 Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation AAAI 2022 Pathologies of Pre-trained Language Models in Few-shot Fine-tuning ACL 2022 Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022 FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows EMNLP 2022 Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation EMNLP 2022 Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification EMNLP 2022 Contrastive Data and Learning for Natural Language Processing NAACL 2022 White-box Testing of NLP models with Mask Neuron Coverage NAACL 2022 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics IJCNLP 2021 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ACL 2021 Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021 HittER: Hierarchical Transformers for Knowledge Graph Embeddings EMNLP 2021 SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks EMNLP 2021 Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks NAACL 2021 Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory EMNLP 2020 Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection ACL 2020 A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing COLING 2020 Pointwise Paraphrase Appraisal is Potentially Problematic ACL 2020 Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers EMNLP 2020 The Amazing World of Neural Language Generation EMNLP 2020 Reevaluating Adversarial Examples in Natural Language EMNLP 2020 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation IJCNLP 2019 Neural Text Generation in Stories Using Entity Representations as Context NAACL 2018 Neural Discourse Structure for Text Categorization ACL 2017 Dynamic Entity Representations in Neural Language Models EMNLP 2017 Multiplicative Representations for Unsupervised Semantic Role Induction ACL 2016 A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models NAACL 2016 deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets IJCNLP 2015 A Neural Network Approach to Context-Sensitive Generation of Conversational Responses NAACL 2015 deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets ACL 2015 Better Document-level Sentiment Analysis from RST Discourse Parsing EMNLP 2015 Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations EMNLP 2015 Representation Learning for Text-level Discourse Parsing ACL 2014 Discriminative Improvements to Distributional Sentence Similarity EMNLP 2013